Outcomes

Innovation With Impact

Identify problems in medical informatics with high potential for impact and utility

Problem Solving Skills

Formulate problems, critically evaluate them and research & build methods to solve them

Knowledge-based Scholarship

Comprehend, recall and apply concepts in computing, health, mathematics and medical informatics

Interdisciplinary Collaboration and Experiential Learning

Participate in teams with other professionals developing and adapting computer science solutions to health problems

Professional and Leadership Skills

Develop skills in ethics, communications, presentation, publishing, media, networking, leadership and team management

EDI Awareness and Promotion

Train with experts in race and informatics, inclusive workplaces, anti-racism, mental health, gender diversity, unconscious bias and intercultural awareness

News

Med-i CREATE Summer Competition Winners Announced

Med-i CREATE program recently held its Annual Summer Competition, providing trainees with the opportunity to apply for funding by submitting research proposals to hire summer students. This year, five Med-i CREATE trainees were selected as winners. Each of these trainees will have the opportunity to mentor an undergraduate student in the summer term, guiding them in accomplishing tasks related to...

Congratulations to Mahdi Gilany on Successfully Completing the Ph.D. Defense

Med-i CREATE trainee Mahdi Gilany successfully defended his thesis titled "Towards High-Fidelity Prostate Tissue Characterization and Cancer Detection with Micro-Ultrasound and Deep Learning," Congratulations Mahdi! Mahdi Gilany (center) poses with his supervisor, Dr. Parvin Mousavi (second from the right), and the rest of the examining committee.

Outstanding Achievements by Med-i CREATE Students at ImNO 2025

We are thrilled to announce that four Med-i CREATE students Vivian Nguyen, Laura Connolly, Kaito Hara-Lee and Bining Long have won Best Presentation awards in their respective sessions at the prestigious IGT x Imaging Network of Ontario (ImNO) 2025 Conference. The IGT x ImNO Joint Symposium was held in Toronto on March 5-6. Congratulations to all of them for their...

Kick-Off Event for 4th Year of Med-i CREATE Program

On Thursday, October 25, 2024, new students, current cohort members, and faculty gathered to welcome the latest cohort of the Med-i CREATE program. Students from Western University participated remotely. This event provided an opportunity for incoming students to connect with their peers, previous cohorts, and faculty members. The orientation, held at the Centre for Health Innovation (CHI), included an overview...

Director

Parvin Mousavi

Prof. Comp/ECE/Pathology, member of the Royal Soc of Canada, College of New Scholars

As the world’s population grows to 10B by 2050, technology-enabled innovation is the critical to ensuring well-being for all. While AI and informatics show great promise in rapid analysis of next-generation large scale data, future workers will require highly specialized training fit to the unique nature of health data. We aim to solidify Canada’s competitive advantage in the global space through concerted efforts to train computer scientists with specialized multi-disciplinary experience in medical informatics and digital health, and engage diverse groups and lived experiences in our training.

Projects

Integration, federation, and retrieval of large-scale data repositories in Canada

We collaborate with the Canadian Institute of Health Information (CIHI) and the Ontario Health Data Platform (OHDP) to tackle novel challenges in data management and devise evaluation frameworks that center on security, performance and fairness.

Next generation of actionable prescriptive analysis using multi-resolution, multi-modality data

We build computation models of disease from multi-omics data using machine learning, deep learning and evolutionary algorithms, focusing on innovations that address the unique nature of health data and the unavailability and vagueness of gold-standard labels (e.g., pathology labels).

Democratization of AI, software and data for healthcare

We're international leaders in developing and disseminating open source software using low-cost point-of-care imaging. Our positive impact on the global computer–assisted medical interventions community has is constantly expanding. We'll meet new challenges for discovery, refinement of methods and innovative AI-powered solutions using large open source data, hence democratizing access to care and positive outcomes of AI.

Featured Students

Maha Kesibi
School of Computing
Queen's University
Maha is an MSc student in the School of Computing at Queen’s University. She completed her HBSc in Computer Science with a double minor in Biology and Chemistry at the University of Toronto. Maha’s current research focuses on utilizing deep…
Zhuoxin Guo
School of Computing
Queen's University
Zhuoxin Guo is a Master’s student in Biomedical Informatics at the School of Computing, Queen’s University. They joined the Medical Informatics Laboratory in 2024 under the supervision of Dr. Parvin Mousavi, with recent work focusing on deep learning-assisted cancer identification.…
Mohammad Farahmand
School of Computing
Queen's University
Mohammad is a Ph.D. student working under the supervision of Prof. Parvin Mousavi. After completing his master's thesis, which was focused on computer vision and deep learning, he has joined the Med-i lab at Queen's School of Computing since September 2023,…
Kaito Hara-Lee
Electrical & Computer Engineering
Queen's University
Kaito is a MASc student working under the supervision of Dr. Gabor Fichtinger and Dr. Parvin Mousavi. Kaito's research centers on enhancing surgical navigation and intervention through medical robotics for breast conserving surgery. Current Program: Master's of Applied Science in…

University Partners

Western University